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OpenAI logo seen on screen with ChatGPT website displayed on mobile seen in this illustration in Brussels, Belgium, on December 12, 2022.

Jonathan Raa | Nurphoto | Getty Images

You may have heard the recent buzz around ChatGPT, an artificial intelligence chatbot that was released to the public at the end of November. I’ve read about people using the service to write their school essays and I was curious as to how it could help me in my daily life.

The technology was developed by OpenAI, a research company backed by Microsoft and others. ChatGPT automatically generates text based on written prompts in an advanced and creative way. It can even carry out a conversation that feels pretty close to one you’d have with a human being.

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Morgan Stanley weighs in on the ChatGPT obession and the risk to Google's search business

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ChatGPT homepage.

This got me wondering — is ChatGPT smart enough to change how we find information online? Could it someday replace Google and other search engines?

Some Google employees are certainly worried about the possibility, At a company all-hands last week, CNBC’s Jen Elias reported, employees recently asked execs if an AI-chatbot like ChatGPT was a “missed opportunity” for the company.

Alphabet CEO Sundar Pichai and Jeff Dean, the long-time head of Google’s AI division, responded by saying that the company has similar capabilities, but that the cost if something goes wrong would be greater because people have to trust the answers they get from Google.

Morgan Stanley published a report on the topic on Monday, Dec. 12 examining whether ChatGPT is a threat to Google. Brian Nowak, the bank’s lead analyst on Alphabet, wrote that language models could take market share “and disrupt Google’s position as the entry point for people on the Internet.”

However, Nowak said the firm is still confident in Google’s position because the company is continuing to improve search, and creating behavioral change is a huge hurdle — a lot of internet users use Google as a habit. Additionally, Google is “building similar natural language models such as LaMDA” which could find their way into new products.

For now, OpenAI’s creators are cautious about making any big claims. Generally speaking, the more users employ ChatGPT, the better it gets. But it still has a lot to learn. OpenAI CEO Sam Altman said in a tweet on Dec. 10 that ChatGPT is “incredibly limited” and “it’s a mistake to be relying on it for anything important right now.”

Either way, I wanted to see how well the chatbot would work as an alternative to Google’s search engine. Instead of Googling my questions throughout the day, I asked ChatGPT.

Here are some of the questions I asked and how ChatGPT responded compared with Google.

ChatGPT vs. Google

It’s easy to sign up for ChatGPT — all you need is an email address. Once you’ve registered, the webpage is very simple to navigate. There’s an area where your results will populate and a text box where you’ll type your inquiries. OpenAI says to put in a statement for the best possible result.

I recently purchased my second Fiddle Leaf Fern plant for my apartment because the first one died. Now the new one is dying after just a few days. I normally would have asked Google what to do.

Instead, I asked ChatGPT. “How can I keep my Fiddle Leaf Fern plant alive?”

The results lined up with the instructions I received from the plant company, Easy Plant, which is where I bought the new Fiddle Leaf Fern. I also liked that I didn’t have to go to various different websites like I would have if I’d Googled this question.

When I Googled the same question, the top result gave me detailed instructions in an article that included pop-up ads and a way more information than I needed, like links to buy new soil.

Winner: ChatGPT.

Next, I tried something where more shopping links would actually have been beneficial. I am still trying to find a present for all 8 nights of Hanukkah for my husband, so I decided to ask ChatGPT for some ideas.

I didn’t give it any information about my husband, besides the fact that the gifts were for Hanukkah. The chatbot then assumed that my husband is kosher and that he’s into tech and watches. The latter isn’t wrong, but it’s not the answers I was hoping for.

When I Googled this question I got access to hundreds of articles with different gift ideas and links to websites. For example I got ads to Lululemon and Bombas, which are both companies I’ve used to buy him gifts before. So in this case, Google used its personalized knowledge of me to find more targeted results from around the web.

Winner: Google

Next, I decided to ask ChatGPT a question with higher stakes.

“Is it safe to take Benadryl while pregnant?” I am currently expecting my first child, and I know that taking Benadryl is safe in pregnancy based on information I’ve received from my doctor. Still, I wanted to see what the chatbot would say.

I appreciated that ChatGPT gave me the correct answer, while also noting the importance of consulting a doctor before taking any medications during pregnancy.

When I Googled the same medical question, the results were all over the place. At quick glance, one article from TheBump.com quoted a doctor saying “Generally, it’s safe to take Benadryl in the first trimester.” While other results said similar information to what I received on ChatGPT, without the explicit warning to discuss with my healthcare provider (unless clicking into a specific link).

Winner: ChatGPT

Could it replace me?

One of the claims (or concerns) around ChatGPT — and artificial intelligence in general — is that it will replace human workers.

So I decided to see if ChatGPT could write this article for me.

The results were pretty astonishing. Here’s what the chatbot said after I told it to “write an article about whether or not ChatGPT is a good alternative to Google as a search engine.”

As a large language model trained by OpenAI, I am not capable of conducting research or browsing the internet to gather information on ChatGPT or other search engines. I am only able to provide information based on what I have been trained on, which is limited to the knowledge that was available up until my training cutoff date of 2021.

With that being said, it is worth considering the potential advantages and disadvantages of using ChatGPT as a search engine compared to other options, such as Google. One potential advantage of using ChatGPT as a search engine is that it is able to provide more personalized and conversational results.

Because ChatGPT is a language model, it is able to understand and respond to natural language queries, allowing users to ask questions and receive answers in a more intuitive and human-like way. This can make the search experience more engaging and interactive, and may be especially useful for users who have specific or complex information needs.

On the other hand, there are also potential limitations to using ChatGPT as a search engine. Because it is a large language model and not a traditional search engine, ChatGPT may not have access to the same breadth and depth of information as other search engines. This means that it may not be able to provide as comprehensive or up-to-date results, and may not be as effective for certain types of searches, such as those that require a large amount of data or real-time information.

In conclusion, whether or not ChatGPT is a good alternative to Google as a search engine will depend on the specific needs and preferences of the user. It may be a useful option for those who value a more personalized and conversational search experience, but it may not be as comprehensive or effective for certain types of searches. Ultimately, the decision to use ChatGPT or another search engine will depend on the individual user’s needs and preferences.

What impressed me most about ChatGPT’s response is that it was pretty subjective and explained its limitations.

The verdict

ChatGPT’s value really lies in its ability to explain complicated topics as if you were talking to a human, and to do simple writing tasks.

For example, I asked ChatGPT to explain concepts like the stock market and internet to me, and the responses were as if I was talking to an expert on the matter. Unlike the case on Google, I didn’t have to filter through unnecessary results.

I also asked it to write a letter to my landlord asking for an early end to my lease, and I’d be happy sending the results directly to my landlord, almost word for word.

On the other hand, Google knows more about us and tailors the results to our interests and behaviors. Google also acts as a gateway to the internet, leading users to a plethora of different websites with more information than one could possibly digest. That’s helpful if you want a range of voices, or if there’s no single simple answer to your question — like if you’re looking for gift suggestions.

Google is also great for certain types of questions where it scours the web to provide a brief but simple answer right in line. For instance, if you search “Apple stock ticker” or “Cheap flights to Aruba,” it will show you a ticker chart with up-to-the-minute price info, or a calendar with the most likely cheapest days to fly and a dialog box that connects you to multiple web sites to shop for tickets on your chosen date. ChatGPT does not scan the internet for real-time information, and has only been trained on data through 2021, so it’s totally useless on these kinds of queries.

And sometimes, ChatGPT is strangely close yet totally wrong. My editor asked it for the lyrics to “The Ballad of Dwight Fry” by Alice Cooper. It somehow knew the song was about a man having a mental breakdown, but then returned completely invented lyrics about that subject, rather than the actual lyrics. Google nailed it.

Google is also incredibly reliable, thanks to the company’s massive operations budget and years of expertise. ChatGPT is still in testing and goes down from time to time.

So I’ll definitely continue using Google for most of my search queries for now. But if I’m not happy with the results, now I have a useful alternative. And if I ever need to dash off an angry letter, ChatGPT could be a huge help there.

The Rise of ChatGPT: Game changer or gimmick?

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Amazon touts its first quantum-computing chip a week after Microsoft’s unveiling

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Amazon touts its first quantum-computing chip a week after Microsoft's unveiling

Amazon on Thursday revealed its first chip for quantum computing, and said its design will help the company build highly efficient hardware systems.

The processor is called Ocelot, and the announcement comes as more tech companies tout their advancements in quantum. Last week, Amazon cloud rival Microsoft showed off its inaugural quantum chip. Microsoft had a paper in the journal Nature documenting its quantum work, and this week Amazon followed suit.

Some technologists hope quantum computers will be capable of solving problems that stump classical computers. PCs and phones run calculations and store data with bits that are either on or off, while quantum computers work with quantum bits, or qubits, that can operate in both states simultaneously.

“We believe that scaling Ocelot to a full-fledged quantum computer capable of transformative societal impact would require as little as one-tenth as many resources as common approaches, helping bring closer the age of practical quantum computing,” Fernando Brandão, Amazon Web Services’ director of applied science, and Oskar Painter, the cloud group’s quantum hardware chief, wrote in a blog post.

The U.S. Defense Advanced Research Projects Agency (DARPA) has funded quantum computing research for two decades, but the technology has been slow to make its way to consumers and businesses.

“That’s because they’re not big enough yet,” said Peter Barrett, founder and general partner at Playground Global, which has backed quantum startups Phasecraft and PsiQuantum.

At a million qubits, there are enough bits that the technology will work even if there are some problems, Barrett said. Google’s Willow, the world’s top quantum chip, features just 105, while Amazon’s Ocelot has only nine, Painter told CNBC.

Amazon CEO Andy Jassy said in 2020, when he was head of AWS, that the company was “optimistic in the future that quantum computing will play a role” as cloud gets bigger in large companies and the public sector.

Six months after Jassy made those comments, AWS released the Amazon Braket service, allowing developers to experiment with quantum computers from other companies, including IonQ and Rigetti Computing. Microsoft’s Azure cloud has a similar offering. Amazon is planning for its in-house quantum chip to become available through Braket, Painter said.

In 2023, AWS senior vice president Peter DeSantis talked about building a quantum processor at the cloud group’s Reinvent conference in Las Vegas, promising more details in the future.

Like Microsoft, Amazon fabricated its chip internally. Building a system boasting a million qubits will take collaborations with world-leading semiconductor manufacturers, according to Barrett. Outsourcing to a partner is an option as Amazon progresses with quantum hardware, Painter said.

Public interest in the space has risen lately, Painter said, as companies have discussed new ways of assembling qubits that are resistant to errors. Amazon designed Ocelot to tackle the problem of error correction, and Google’s Willow also demonstrated improvements in that area, Painter said.

Painter estimated that commercial workloads won’t be running on quantum computers for 10 years or more.

At a meeting with analysts in January, Nvidia CEO Jensen Huang said useful quantum computers could be 15 to 30 years away. Days later, Meta chief Mark Zuckerberg told Joe Rogan that he isn’t a quantum computing expert but said most people believe it’s at least a decade from being viable.

Pat Gelsinger, Intel’s former CEO, is more optimistic.

“I stand by my prediction years ago — by 2030, useful quantum computing,” Gelsinger wrote in a LinkedIn comment on Wednesday.

WATCH: Quantum: Tech’s next battlefield

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Reddit co-founder says Meta’s end to third-party fact-checking is ‘very pragmatic’

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Reddit co-founder says Meta’s end to third-party fact-checking is ‘very pragmatic’

Reddit‘s co-founder says Meta‘s decision to end third-party fact-checking on its platforms was a “pragmatic” one, characterizing the move as a reversal of an unviable program.

In January, just days before Donald Trump was sworn in as U.S. president for the second time, Meta announced it would end third-party fact-checking on its platforms, a program often criticized by Trump and conservatives for what they say unfairly targeted right-wing content.

In a series of sweeping policy changes at the media giant, CEO Mark Zuckerberg announced he would install a community-based system instead.

“It was a very pragmatic change,” Reddit co-founder Alexis Ohanian told CNBC at the Web Summit in Qatar on Sunday, adding “it is impossible to do fact-checking at scale, let alone in real time, as Facebook was trying to do.”

“In many ways, I think they were just winding back something that was a bad idea from the start because it was untenable,” Ohanian added. 

Meta launched its global fact-checking program in 2016 in a bid to tackle misinformation, and has since partnered with fact-checking organizations in more than 100 countries. The rollback will begin in the U.S., according to the company, and will not affect other countries yet.

'Impossible to do fact-checking at scale,' Reddit co-founder says

The Reddit co-founder, who created the “front page of the internet” in 2005, also weighed in on the future of social media. “I think we’ll get to a place where we as users get to choose our algorithms, and because, without a doubt, these platforms, we’re all incentivized to have the best possible algorithm, not because of anything sinister, but because we want to keep people engaged,” he said.

Reddit, which went public in March last year and was valued at $6.4 billion, was one of the first social networking platforms, and began when MySpace still dominated user’s screens. Reddit has struggled with moderation in its own history, eventually banning revenge porn, and cracking down on racism and misogyny in its communities. Today, the platform has over 70 million daily active users, and boasts “community-specific rules” across individual communities, or subreddits.

‘More personalized approach’

In a post about Meta’s new content moderation policies, Joel Kaplan, Meta’s chief global affairs officer, wrote, “Starting in the US, we are ending our third party fact-checking program and moving to a Community Notes model.”

Kaplan added that Meta would “take a more personalized approach to political content, so that people who want to see more of it in their feeds can.”

Meta did not immediately reply to CNBC’s request for comment.

The community notes model is also favored by Elon Musk-owned X, which says it aims to “create a better informed world by empowering people on X to collaboratively add context to potentially misleading posts.”

Kaplan praised X’s success with the model, saying “We’ve seen this approach work on X – where they empower their community to decide when posts are potentially misleading and need more context, and people across a diverse range of perspectives decide what sort of context is helpful for other users to see.”

Kaplan, a prominent Republican who replaced Nick Clegg at Meta, added that “Meta’s platforms are built to be places where people can express themselves freely. That can be messy. On platforms where billions of people can have a voice, all the good, bad and ugly is on display. But that’s free expression.”

After Trump’s inauguration, Zuckerberg joined a number of major American firms in ending programs designed for diversity, equity and inclusion. The Meta boss recently expressed regret over some of the company’s decisions in a letter to Congress, in which he said the Biden Administration had pressured Meta into censoring certain content around Covid-19.

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Nvidia warns of growing competition from China’s Huawei, despite U.S. sanctions

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Nvidia warns of growing competition from China's Huawei, despite U.S. sanctions

Dado Ruvic | Reuters

BEIJING — Chip giant Nvidia has flagged heightened competition from Huawei, despite U.S. restrictions on the Chinese telecommunications company.

In an annual filing Wednesday, Nvidia listed Huawei among its current competitors, including it in the list for a second straight year. The company, blacklisted by the U.S. for national security reasons, did not feature among Nvidia’s competitors for at least three prior years.

Nvidia listed Huawei among its competitors in four of five categories, including chips, cloud services, computing processing and networking products.

“There’s a fair amount of competition in China,” Nvidia CEO Jensen Huang told CNBC’s Jon Fortt Wednesday.

“Huawei, other companies, are … quite vigorous and very, very competitive,” Huang said.

Since 2019, the U.S. has restricted Huawei’s ability to access technology from American suppliers, from advanced 5G chips to Google’s Android operating system.

Nvidia CEO Huang: Revenue in China before export controls was twice as high as it is now

Huawei’s revenue exceeded 860 billion yuan ($118.27 billion) in 2024, state media reported, a 22% jump in revenue from 2023, and the fastest growth since a 32% increase in 2016, according to CNBC calculations of publicly released figures. Huawei typically publishes its annual reports in March.

The company’s revenue barely grew in 2020, and plunged by nearly 29% in 2021. Its consumer segment was hit hard, and even as revenue rose 17% year on year to 251.5 billion yuan in 2023, it was just over half of what the unit generated at its peak in 2020.

The telecommunications company started to make a comeback in the smartphone market in 2023 with the release of its Mate 60 Pro in China. Reviews indicated the device offers download speeds associated with 5G — thanks to an advanced semiconductor chip.

Just over a year later, Huawei launched the Mate 70 smartphone series that uses the company’s first fully self-developed operating system, HarmonyOS NEXT.

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